Cuando Cuba entró en París : retombées barthesianas en la crítica literaria de Severo Sarduy

En el presente artículo se exploran los usos barthesianos de la crítica literaria de Severo Sarduy. En primer lugar, analizamos de qué manera la lectura estructuralista-telquelista realizada por Sarduy sobre las obras de Góngora y Lezama Lima le permitió elaborar el concepto de neobarroco como rasgo identitario de la cultura cubana. En segundo lugar, vemos cómo a través de la práctica del "habla indirecta" barthesiana Sarduy acaba constituyendo una crítica literaria en la que Cuba se afirma y se cuestiona a la vez.En el present article s'exploren els usos barthesianos de la crítica literària de Sever Sarduy. En primer lloc, analitzem de quina manera la lectura estructuralista-telquelista realitzada per Sarduy sobre les obres de Góngora i Lezama Lima li va permetre elaborar el concepte de neobarroc com a tret identitari de la cultura cubana. En segon lloc, veiem com a través de la pràctica del "parla indirecta" barthesiana Sarduy acaba constituint una crítica literària en què Cuba s'afirma i es qüestiona alhora.This article explores the uses of Roland Barthes in Severo Sarduy's literary criticism. First, we analyse how the structuralist-telquelist reading operated by Sarduy on the works of Luis de Góngora and José Lezama Lima allowed him to develop the concept of neo-baroque as an identifying feature of Cuban culture. Secondly, we explain how Sarduy constructs an affirming but questioning literary critique of Cuba through the practice of the 'indirect language' of Barthes

Modelo de educación de la inteligencia colectiva

The research carried out is part of the field of study of Collective Intelligence (CI) with the use of Information and Communication Technologies (ICT) in Higher Education. The heart of this research was focused on the study, design and construction of electronic tools according to the paradigms of CI, to be applied in Higher Education. As an instrument for the implementation of these tools, an educational model with a collective work approach was designed. The research strategy used was Design-Based Research (DBR), because it investigates a phenomenon in its real context, iterative and incremental, and it is especially recommended for the field of education. DBR in each experimental cycle updates literature, model and tools. Empirical studies were conducted in four universities and fields of study in Latin America and Europe. The refinements demanded by the research strategy provided the scientific and empirical evidence to design ICT tools that meet the requirements of CI. In addition, the results indicate that the educational model and the tools have generated a positive perception in teachers and students about the effects on the teaching-learning process. Based on this fact, the experimental cycles present significant contributions to the research carried out around the CI with ICT tools in Higher Education.La investigación realizada se enmarca en el campo de estudio de la Inteligencia Colectiva (IC) con el uso de las Tecnologías de la Información y la Comunicaciones (TIC) en la Educación Superior. El corazón de ésta investigación estuvo enfocada en el estudio, diseño y construcción de herramientas electrónicas acorde a los paradigmas de IC, para ser aplicadas en la Educación Superior. Como vía de instrumentación de dichas herramientas, se diseñó un modelo educativo con enfoque de trabajo colectivo. La estrategia de investigación que se utilizó fue la Investigación Basada en el Diseño (DBR), porque investiga un fenómeno en su contexto real, es iterativa e incremental, y está especialmente recomendada para el ámbito de la educación.DBR en cada ciclo experimental actualiza literatura, modelo y herramientas. Los estudios empíricos se realizaron en cuatro universidades y campos de estudio en Hispanoamérica y Europa. Los múltiples refinamientos exigidos por la estrategia de investigación, proporcionaron la evidencia científica y empírica para diseñar herramientas TIC que cumplan con los requisitos de IC. Además, los resultados indican que el modelo educativo y las herramientas han generado una percepción positiva en docentes y estudiantes sobre los efectos en el proceso de enseñanza-aprendizaje. Basados en este hecho, los ciclos experimentales presentan aportes significativos a las investigaciones que se realizan en torno a la IC con herramientas TIC en la Educación Superior

Short Baseline Neutrino Oscillations and MicroBooNE

Presentation from Neutrino Platform Week 2019: Hot Topics in Neutrino Physics, CERN, 7-11 October 201

Additional file 2 of Strainline: full-length de novo viral haplotype reconstruction from noisy long reads

Additional file 2 Review history

Additional file 2 of phasebook: haplotype-aware de novo assembly of diploid genomes from long reads

Additional file 2 Review history

DataSheet_1_Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding.pdf

Convolutional neural network (CNN) based methods have outperformed conventional machine learning methods in predicting the binding preference of DNA-protein binding. Although studies in the past have shown that more convolutional kernels help to achieve better performance, visualization of the model can be obscured by the use of many kernels, resulting in overfitting and reduced interpretation because the number of motifs in true models is limited. Therefore, we aim to arrive at high performance, but with limited kernel numbers, in CNN-based models for motif inference. We herein present Deepprune, a novel deep learning framework, which prunes the weights in the dense layer and fine-tunes iteratively. These two steps enable the training of CNN-based models with limited kernel numbers, allowing easy interpretation of the learned model. We demonstrate that Deepprune significantly improves motif inference performance for the simulated datasets. Furthermore, we show that Deepprune outperforms the baseline with limited kernel numbers when inferring DNA-binding sites from ChIP-seq data.</p

Additional file 1 of Strainline: full-length de novo viral haplotype reconstruction from noisy long reads

Additional file 1 Supplement: This contains all supplementary materials referenced in the main text

Additional file 1 of phasebook: haplotype-aware de novo assembly of diploid genomes from long reads

Additional file 1 Supplement: This contains all supplementary materials referenced in the main text

Mapping spatial variation of population aging in China's mega cities

<p>Based on the statistics of the fifth and sixth censuses in China, this paper, which focuses on the spatial distribution characteristics of aging population in China's mega cities, examines the distribution of aging in Beijing, Shanghai, Guangzhou, and Wuhan. In this paper, an Aging Degree Index and an Aging Population Mean Center have been used to analyze the spatial distribution characteristics and spatial variation trends of aging population in mega cities. According to the research, the spatial distribution of aging population shows a faster development tendency of suburbanization from two different perspectives: one tendency is centrifugal spread associated with seniors who are moving from the city center to outer suburb areas, and the other is center concentration where the seniors who lived in the outer suburb areas are moving towards the city center.</p

DataSheet1_Enhancing Long-Read-Based Strain-Aware Metagenome Assembly.PDF

Microbial communities are usually highly diverse and often involve multiple strains from the participating species due to the rapid evolution of microorganisms. In such a complex microecosystem, different strains may show different biological functions. While reconstruction of individual genomes at the strain level is vital for accurately deciphering the composition of microbial communities, the problem has largely remained unresolved so far. Next-generation sequencing has been routinely used in metagenome assembly but there have been struggles to generate strain-specific genome sequences due to the short-read length. This explains why long-read sequencing technologies have recently provided unprecedented opportunities to carry out haplotype- or strain-resolved genome assembly. Here, we propose MetaBooster and MetaBooster-HiFi, as two pipelines for strain-aware metagenome assembly from PacBio CLR and Oxford Nanopore long-read sequencing data. Benchmarking experiments on both simulated and real sequencing data demonstrate that either the MetaBooster or the MetaBooster-HiFi pipeline drastically outperforms the state-of-the-art de novo metagenome assemblers, in terms of all relevant metagenome assembly criteria, involving genome fraction, contig length, and error rates.</p